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Study on the influence of randomly distributed fracture aperture in a fracture network on heat production from an enhanced geothermal system (EGS)

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  • Zhou, Dejian
  • Tatomir, Alexandru
  • Niemi, Auli
  • Tsang, Chin-Fu
  • Sauter, Martin

Abstract

In the attempt to reduce the CO2 emissions to the atmosphere and therefore the dependence on fossil fuels, geothermal energy has started to receive increased scientific interest. With the development of the Enhanced Geothermal System (EGS) technology, extensive geothermal energy applications have become feasible. However, enhanced geothermal reservoirs are usually situated several kilometers below the ground, which makes their experimental investigation challenging. Therefore, numerical models capable of simulating thermohydraulic (TH) effects are an essential additional tool for analyzing geothermal reservoir efficiency. To simulate fluid migration and heat propagation within a fractured geothermal reservoir in EGS, discrete fracture models (DFMs) of the TH processes are widely used. However, the variability of aperture size from one fracture to another is typically ignored in these models. In this work, a discrete fracture model considering variable aperture fractures is presented and used to investigate the performance of a geothermal reservoir in EGS. The outlet temperature and energy production rate are used as the evaluation criteria. Statistically generated fracture networks with different apertures were applied. The fractures are represented as lower-dimensional elements. The fracture apertures are randomly distributed within the networks, but constant for one single fracture. The simulation results show that the coefficient of variation of the DFN apertures strongly affects the performance of the geothermal reservoir. The heat production rate and outlet temperature can be divided into three stages based on the value of coefficient of variation of fracture apertures. The higher variability results in the low heat production rate but high outlet temperature. The investigation on fracture density in turn indicates that the average heat production rate is proportional to the fracture density. However, the effect of fracture density is reduced with an increase of coefficient of variation. Furthermore, the comparison between fracture aperture and fracture density shows that, the increase in mean fracture aperture leads to a higher increase in average heat production rate than an increase in fracture density.

Suggested Citation

  • Zhou, Dejian & Tatomir, Alexandru & Niemi, Auli & Tsang, Chin-Fu & Sauter, Martin, 2022. "Study on the influence of randomly distributed fracture aperture in a fracture network on heat production from an enhanced geothermal system (EGS)," Energy, Elsevier, vol. 250(C).
    • Handle: RePEc:eee:energy:v:250:y:2022:i:c:s0360544222006843
    DOI: 10.1016/j.energy.2022.123781
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    References listed on IDEAS

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    1. Xu, Chaoshui & Dowd, Peter Alan & Tian, Zhao Feng, 2015. "A simplified coupled hydro-thermal model for enhanced geothermal systems," Applied Energy, Elsevier, vol. 140(C), pages 135-145.
    2. Sun, Zhi-xue & Zhang, Xu & Xu, Yi & Yao, Jun & Wang, Hao-xuan & Lv, Shuhuan & Sun, Zhi-lei & Huang, Yong & Cai, Ming-yu & Huang, Xiaoxue, 2017. "Numerical simulation of the heat extraction in EGS with thermal-hydraulic-mechanical coupling method based on discrete fractures model," Energy, Elsevier, vol. 120(C), pages 20-33.
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    Citations

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    1. Xiang Gao & Tailu Li & Yao Zhang & Xiangfei Kong & Nan Meng, 2022. "A Review of Simulation Models of Heat Extraction for a Geothermal Reservoir in an Enhanced Geothermal System," Energies, MDPI, vol. 15(19), pages 1-23, September.
    2. Gao, Xuefeng & Zhang, Yanjun & Cheng, Yuxiang & Yu, Ziwang & Hu, Zhongjun & Huang, Yibin, 2023. "Heat extraction performance of fractured geothermal reservoirs considering aperture variability," Energy, Elsevier, vol. 269(C).
    3. Yuan Zhao & Lingfeng Shu & Shunyi Chen & Jun Zhao & Liangliang Guo, 2022. "Optimization Design of Multi-Factor Combination for Power Generation from an Enhanced Geothermal System by Sensitivity Analysis and Orthogonal Test at Qiabuqia Geothermal Area," Sustainability, MDPI, vol. 14(12), pages 1-35, June.
    4. Gao, Xuefeng & Zhang, Yanjun & Cheng, Yuxiang & Huang, Yibin & Deng, Hao & Ma, Yongjie, 2022. "A novel strategy utilizing local fracture networks to enhance CBHE heat extraction performance: A case study of the Songyuan geothermal field in China," Energy, Elsevier, vol. 255(C).
    5. Cao, Meng & Sharma, Mukul M., 2023. "Effect of fracture geometry, topology and connectivity on energy recovery from enhanced geothermal systems," Energy, Elsevier, vol. 282(C).
    6. Zhou, Dejian & Tatomir, Alexandru & Tomac, Ingrid & Sauter, Martin, 2023. "Effects of fracture aperture distribution on the performances of the enhanced geothermal system using supercritical CO2 as working fluid," Energy, Elsevier, vol. 284(C).
    7. Aryanfar, Yashar & Mohtaram, Soheil & García Alcaraz, Jorge Luis & Sun, HongGuang, 2023. "Energy and exergy assessment and a competitive study of a two-stage ORC for recovering SFGC waste heat and LNG cold energy," Energy, Elsevier, vol. 264(C).
    8. Wang, Ling & Jiang, Zhenjiao & Li, Chengying, 2023. "Comparative study on effects of macroscopic and microscopic fracture structures on the performance of enhanced geothermal systems," Energy, Elsevier, vol. 274(C).
    9. Gao, Xiang & Li, Tailu & Meng, Nan & Gao, Haiyang & Li, Xuelong & Gao, Ruizhao & Wang, Zeyu & Wang, Jingyi, 2023. "Supercritical flow and heat transfer of SCO2 in geothermal reservoir under non-Darcy's law combined with power generation from hot dry rock," Renewable Energy, Elsevier, vol. 206(C), pages 428-440.

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